Registration is a transformation estimation problem between two point clouds, which has a
unique and critical role in numerous computer vision applications. The developments of …

The emerging topic of cross-source point cloud (CSPC) registration has attracted increasing
attention with the fast development background of 3D sensor technologies. Different from the …

We present a fast feature-metric point cloud registration framework, which enforces the
optimisation of registration by minimising a feature-metric projection error without …

Point cloud registration (PCR) is an important task in photogrammetry and remote sensing,
whose goal is to seek a seven-parameter similarity transformation to register a pair of point …

The frontiers of bioimaging are currently being pushed toward the integration and correlation
of several modalities to tackle biomedical research questions holistically and across multiple …

This paper presents a new method for urban scene analysis, which comprises 3D point
cloud registration and change detection through fusing Lidar point clouds with significantly …

The performance of surface registration relies heavily on the metric used for the alignment
error between the source and target shapes. Traditionally, such a metric is based on the …

Real-world point cloud registration is challenging because of large outliers in
correspondence search. The mixture variations, such as partial overlap, noise and cross …

以机器人作为制造装备执行体, 集成视觉等智能传感器, 实现大型复杂零件小余量磨削/铣削/切边
/制孔是智能制造的前沿研究方向之一, 目前加工误差难以降低是制约其应用的主要难题 …

Real point cloud registration, involving homologous and cross-source 3D data, poses
significant challenges such as partial overlap, high noise, density disparities, and scale …